Neural Network System for Monitoring State of a High-Speed Fiber-Optical Linear Path
| Autor: | S. I. Saitov, M. M. Bizin, V. Yu. Budkov, Anna I. Motienko, Oleg Basov, Igor' Saitov |
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| Rok vydání: | 2016 |
| Předmět: |
Artificial neural network
Fiber (mathematics) Computer science Time delay neural network Real-time computing 020206 networking & telecommunications 02 engineering and technology Neural network system Signal Control system Path (graph theory) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing State (computer science) |
| Zdroj: | Advances in Neural Networks – ISNN 2016 ISBN: 9783319406626 ISNN |
| DOI: | 10.1007/978-3-319-40663-3_57 |
| Popis: | The paper presents a methodology for the synthesis of systems for monitoring the state of a high-speed fiber-optical linear path, based on the information and measuring control system that implements neural network recognition algorithms with synthesis by dominance. The proposed information-measuring system processes levels of the average intensity of the optical signal received at various carriers in a certain retrospective over a defined period of time. Neural network algorithms are synthesized by optimizing the parameters of a neural network that allow to make a conclusion about the state of a high-speed fiber-optical linear path. |
| Databáze: | OpenAIRE |
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